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20162026
most citedSyntactic and Semantic Features For Code-Switching Factored Language Models

70 citations · 190 across the 32 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.CL2017★ 1 cited

Impact of Coreference Resolution on Slot Filling

Heike Adel, Hinrich Schütze

In this paper, we demonstrate the importance of coreference resolution for natural language processing on the example of the TAC Slot Filling shared task. We illustrate the strengt…

cs.CL2017★ 70 cited

Syntactic and Semantic Features For Code-Switching Factored Language Models

Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff +2

This paper presents our latest investigations on different features for factored language models for Code-Switching speech and their effect on automatic speech recognition (ASR) pe…

cs.CL2017

Corpus-level Fine-grained Entity Typing

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze

This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class such as "food" or "artist". The applicatio…

cs.CL2017

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

Heike Adel, Hinrich Schütze

We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain co…

cs.CL2017

Noise Mitigation for Neural Entity Typing and Relation Extraction

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze

In this paper, we address two different types of noise in information extraction models: noise from distant supervision and noise from pipeline input features. Our target tasks are…

cs.CL2017★ 4 cited

Exploring Different Dimensions of Attention for Uncertainty Detection

Heike Adel, Hinrich Schütze

Neural networks with attention have proven effective for many natural language processing tasks. In this paper, we develop attention mechanisms for uncertainty detection. In partic…